Francesco V. Tenore
Johns Hopkins University, Johns Hopkins University Applied Physics Laboratory
Papers
13
Total Citations
376
H-Index
10
About
Francesco V. Tenore is a pioneering researcher whose work spans neuromorphic engineering, brain-machine interfaces (BMIs), and neuroprosthetics — fields at the intersection of neuroscience, robotics, and electrical engineering. His early contributions focused on silicon central pattern generators (CPGs), culminating in a landmark 2008 paper demonstrating a neuromorphic chip capable of controlling locomotion in vivo, which has garnered 72 citations and remains a cornerstone reference in biologically inspired robotics. His CPG designs, refined through multiple generations of silicon neural architectures, leveraged inhibitory network principles and genetic algorithms to replicate spinal circuit dynamics with remarkable fidelity. Tenore's research later expanded into restoring motor and sensory function in individuals with paralysis. His work on collaborative and shared-control BMI systems — including a 2022 study on bimanual robotic limb coordination for self-feeding (59 citations) — addresses one of the most challenging frontiers in assistive technology. He has also contributed critical findings on the long-term stability of intracortical microstimulation for somatosensory feedback and demonstrated simultaneous bilateral hand gesture classification in tetraplegic patients. Collectively, his body of work represents a sustained and impactful effort to bridge neural computation and real-world restoration of human function.
Research Focus
Key Achievements
Top Papers
- 1A Silicon Central Pattern Generator Controls Locomotion in Vivo72 citations · 2008
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- 3CPG Design using Inhibitory Networks59 citations · 2006
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- 8Configuring silicon neural networks using genetic algorithms15 citations · 2008
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- 10A Spiking Silicon Central Pattern Generator with Floating Gate Synapses13 citations · 2005